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Dynamic Performance Assessment of Hospitals by Applying Credibility-Based Fuzzy Window Data Envelopment Analysis
Pejman Peykani1, Elaheh Memar-Masjed2, Nasim Arabjazi3
1School of Industrial Engineering, Iran University of Science and Technology, Tehran 1684613114, Iran.
This study introduces a novel Credibility-based Fuzzy Window Data Envelopment Analysis (CFWDEA) for dynamic hospital performance evaluation. The CFWDEA method effectively handles ambiguous data and linguistic variables for accurate hospital ranking.
Area of Science:
- Healthcare Management
- Operations Research
- Data Analysis
Background:
- Dynamic performance evaluation of hospitals is crucial for strategic decision-making.
- Existing methods often struggle with data ambiguity and linguistic variables inherent in healthcare data.
- Accurate hospital performance assessment requires robust methodologies that account for temporal changes and uncertainty.
Purpose of the Study:
- To propose the Credibility-based Fuzzy Window Data Envelopment Analysis (CFWDEA) as a novel approach for dynamic hospital performance evaluation.
- To address challenges posed by data ambiguity and linguistic variables in assessing hospital efficiency over time.
- To demonstrate the applicability and efficacy of the CFWDEA method using real-world hospital data.
Main Methods:
- Integration of Data Envelopment Analysis (DEA), window analysis, possibilistic programming, credibility theory, and chance-constrained programming (CCP).
- Development of the CFWDEA model to incorporate fuzzy data and linguistic variables.
- Application of the CFWDEA approach to a dataset of US hospitals for dynamic performance appraisal.
Main Results:
- The proposed CFWDEA method successfully evaluates and ranks hospitals under conditions of fuzzy data and epistemic uncertainty.
- Experimental results validate the usefulness of CFWDEA for dynamic performance appraisal, considering multiple inputs and outputs.
- The approach effectively handles linguistic variables, enhancing the reliability of performance evaluations.
Conclusions:
- The CFWDEA approach offers a robust and effective solution for dynamic hospital performance evaluation in complex data environments.
- This methodology provides valuable insights for hospital management and policy-making by accounting for data ambiguity and uncertainty.
- CFWDEA represents a significant advancement in applying advanced analytical techniques to healthcare performance assessment.
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